Evidence map›Paper›PMID 40328782›Full record

ArticleScientific data2025

A Dataset of Real and Synthetic Speech in Ukrainian.

Khrystyna Lipianina-Honcharenko, Hennadii Bohuta, Adam Ivaniush, Mariana Soia

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Khrystyna Lipianina-HoncharenkoWest Ukrainian National University, Ternopil, Ukraine. kh.lipianina@wunu.edu.ua.ORCID http://orcid.org/0000-0002-2441-6292
Hennadii BohutaWest Ukrainian National University, Ternopil, Ukraine.
Adam IvaniushWest Ukrainian National University, Ternopil, Ukraine.
Mariana SoiaWest Ukrainian National University, Ternopil, Ukraine.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This work is dedicated to the analysis and evaluation of the DRSSU dataset: A Dataset of Real and Synthetic Speech in Ukrainian, created to support research in the field of natural language processing and speech recognition. The dataset contains a unique collection of audio recordings that include both real and synthesized Ukrainian speech, providing unprecedented opportunities for improving machine learning algorithms aimed at speech recognition and analysis. The main focus of the research is on identifying statistically significant differences between generated and real speech, which is of great importance for the further development of automatic speech recognition systems. The analysis demonstrates potential applications of the dataset in a wide range of areas, from combating misinformation to supporting linguistic diversity and cultural heritage. The work emphasizes the importance of innovation in the field of NLP and speech processing, with a special focus on the development of technologies adapted to the Ukrainian language.

Indexed as

Natural Language ProcessingSpeechSpeech Recognition SoftwareHumansLanguageMachine LearningUkraine

Identifiers

PMID40328782
PMCPMC12056226

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.